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Forno E, Ortega VE, Celedón JC. Asthma and Chronic Obstructive Pulmonary Disease. Clin Chest Med 2023; 44:519-530. [PMID: 37517832 PMCID: PMC10790313 DOI: 10.1016/j.ccm.2023.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
In the United States, asthma and chronic obstructive pulmonary disease (COPD) disproportionately affect African Americans, Puerto Ricans, and other minority groups. Compared with non-Hispanic whites, minorities have been marginalized and more frequently exposed to environmental risk factors such as tobacco smoke and outdoor and indoor pollutants. Such divergent environmental exposures, alone or interacting with heredity, lead to disparities in the prevalence, morbidity, and mortality of asthma and COPD, which are worsened by lack of access to health care. In this article, we review the burden and risk factors for racial or ethnic disparities in asthma and COPD and discuss future directions in this field.
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Affiliation(s)
- Erick Forno
- Division of Pulmonary Medicine, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Victor E Ortega
- Division of Respiratory Medicine, Department of Medicine, Mayo Clinic, Phoenix, AZ, USA
| | - Juan C Celedón
- Division of Pulmonary Medicine, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA.
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2
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Reynolds KM, Horimoto ARVR, Lin BM, Zhang Y, Kurniansyah N, Yu B, Boerwinkle E, Qi Q, Kaplan R, Daviglus M, Hou L, Zhou LY, Cai J, Shaikh SR, Sofer T, Browning SR, Franceschini N. Ancestry-driven metabolite variation provides insights into disease states in admixed populations. Genome Med 2023; 15:52. [PMID: 37461045 PMCID: PMC10351197 DOI: 10.1186/s13073-023-01209-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 07/10/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Metabolic pathways are related to physiological functions and disease states and are influenced by genetic variation and environmental factors. Hispanics/Latino individuals have ancestry-derived genomic regions (local ancestry) from their recent admixture that have been less characterized for associations with metabolite abundance and disease risk. METHODS We performed admixture mapping of 640 circulating metabolites in 3887 Hispanic/Latino individuals from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Metabolites were quantified in fasting serum through non-targeted mass spectrometry (MS) analysis using ultra-performance liquid chromatography-MS/MS. Replication was performed in 1856 nonoverlapping HCHS/SOL participants with metabolomic data. RESULTS By leveraging local ancestry, this study identified significant ancestry-enriched associations for 78 circulating metabolites at 484 independent regions, including 116 novel metabolite-genomic region associations that replicated in an independent sample. Among the main findings, we identified Native American enriched genomic regions at chromosomes 11 and 15, mapping to FADS1/FADS2 and LIPC, respectively, associated with reduced long-chain polyunsaturated fatty acid metabolites implicated in metabolic and inflammatory pathways. An African-derived genomic region at chromosome 2 was associated with N-acetylated amino acid metabolites. This region, mapped to ALMS1, is associated with chronic kidney disease, a disease that disproportionately burdens individuals of African descent. CONCLUSIONS Our findings provide important insights into differences in metabolite quantities related to ancestry in admixed populations including metabolites related to regulation of lipid polyunsaturated fatty acids and N-acetylated amino acids, which may have implications for common diseases in populations.
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Affiliation(s)
- Kaylia M Reynolds
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
- Department of Epidemiology, University of North Carolina, 123 W Franklin St, Suite 401, NC, NC 27516, Chapel Hill, USA
| | | | - Bridget M Lin
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - Ying Zhang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Nuzulul Kurniansyah
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Bing Yu
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Laura Y Zhou
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - Saame Raza Shaikh
- Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Departments of Medicine and Biostatistics, Harvard University, Boston, MA, USA
| | - Sharon R Browning
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, 123 W Franklin St, Suite 401, NC, NC 27516, Chapel Hill, USA.
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3
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Kim JS, Manichaikul AW, Hoffman EA, Balte P, Anderson MR, Bernstein EJ, Madahar P, Oelsner EC, Kawut SM, Wysoczanski A, Laine AF, Adegunsoye A, Ma JZ, Taub MA, Mathias RA, Rich SS, Rotter JI, Noth I, Garcia CK, Barr RG, Podolanczuk AJ. MUC5B, telomere length and longitudinal quantitative interstitial lung changes: the MESA Lung Study. Thorax 2023; 78:566-573. [PMID: 36690926 PMCID: PMC9899287 DOI: 10.1136/thorax-2021-218139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 07/11/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND The MUC5B promoter variant (rs35705950) and telomere length are linked to pulmonary fibrosis and CT-based qualitative assessments of interstitial abnormalities, but their associations with longitudinal quantitative changes of the lung interstitium among community-dwelling adults are unknown. METHODS We used data from participants in the Multi-Ethnic Study of Atherosclerosis with high-attenuation areas (HAAs, Examinations 1-6 (2000-2018)) and MUC5B genotype (n=4552) and telomere length (n=4488) assessments. HAA was defined as the per cent of imaged lung with attenuation of -600 to -250 Hounsfield units. We used linear mixed-effects models to examine associations of MUC5B risk allele (T) and telomere length with longitudinal changes in HAAs. Joint models were used to examine associations of longitudinal changes in HAAs with death and interstitial lung disease (ILD). RESULTS The MUC5B risk allele (T) was associated with an absolute change in HAAs of 2.60% (95% CI 0.36% to 4.86%) per 10 years overall. This association was stronger among those with a telomere length below an age-adjusted percentile of 5% (p value for interaction=0.008). A 1% increase in HAAs per year was associated with 7% increase in mortality risk (rate ratio (RR)=1.07, 95% CI 1.02 to 1.12) for overall death and 34% increase in ILD (RR=1.34, 95% CI 1.20 to 1.50). Longer baseline telomere length was cross-sectionally associated with less HAAs from baseline scans, but not with longitudinal changes in HAAs. CONCLUSIONS Longitudinal increases in HAAs were associated with the MUC5B risk allele and a higher risk of death and ILD.
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Affiliation(s)
- John S Kim
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Ani W Manichaikul
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Eric A Hoffman
- Department of Radiology, University of Iowa, Iowa City, Iowa, USA
| | - Pallavi Balte
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Michaela R Anderson
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Elana J Bernstein
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Purnema Madahar
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Steven M Kawut
- Department of Medicine, Perelman School of Medicine University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics and Epidemiology, Perelman School of Medicine University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Artur Wysoczanski
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Andrew F Laine
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | | | - Jennie Z Ma
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Margaret A Taub
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Rasika A Mathias
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Stephen S Rich
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Jerome I Rotter
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, USA
- The Institute for Translational Genomics and Population Sciences, The Lundquist Institute, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Imre Noth
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Christine Kim Garcia
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Anna J Podolanczuk
- Division of Pulmonary and Critical Care, Weill Cornell Medical College, New York, New York, USA
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4
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Pirzada A, Cai J, Heiss G, Sotres-Alvarez D, Gallo LC, Youngblood ME, Avilés-Santa ML, González HM, Isasi CR, Kaplan R, Kunz J, Lash JP, Lee DJ, Llabre MM, Penedo FJ, Rodriguez CJ, Schneiderman N, Sofer T, Talavera GA, Thyagarajan B, Wassertheil-Smoller S, Daviglus ML. Evolving Science on Cardiovascular Disease Among Hispanic/Latino Adults: JACC International. J Am Coll Cardiol 2023; 81:1505-1520. [PMID: 37045521 DOI: 10.1016/j.jacc.2023.02.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/03/2023] [Accepted: 02/07/2023] [Indexed: 04/14/2023]
Abstract
The landmark, multicenter HCHS/SOL (Hispanic Community Health Study/Study of Latinos) is the largest, most comprehensive, longitudinal community-based cohort study to date of diverse Hispanic/Latino persons in the United States. The HCHS/SOL aimed to address the dearth of comprehensive data on risk factors for cardiovascular disease (CVD) and other chronic diseases in this population and has expanded considerably in scope since its inception. This paper describes the aims/objectives and data collection of the HCHS/SOL and its ancillary studies to date and highlights the critical and sizable contributions made by the study to understanding the prevalence of and changes in CVD risk/protective factors and the burden of CVD and related chronic conditions among adults of diverse Hispanic/Latino backgrounds. The continued follow-up of this cohort will allow in-depth investigations on cardiovascular and pulmonary outcomes in this population, and data from the ongoing ancillary studies will facilitate generation of new hypotheses and study questions.
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Affiliation(s)
- Amber Pirzada
- Institute for Minority Health Research, University of Illinois Chicago, Chicago, Illinois, USA.
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Gerardo Heiss
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, California, USA
| | - Marston E Youngblood
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - M Larissa Avilés-Santa
- Division of Clinical and Health Services Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland, USA
| | - Hector M González
- Department of Neurosciences, University of California San Diego, San Diego, California, USA
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - John Kunz
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - James P Lash
- Department of Medicine, University of Illinois Chicago, Chicago, Illinois, USA
| | - David J Lee
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Maria M Llabre
- Department of Psychology, University of Miami, Miami, Florida, USA
| | - Frank J Penedo
- Department of Psychology, University of Miami, Miami, Florida, USA
| | - Carlos J Rodriguez
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Gregory A Talavera
- Department of Psychology, San Diego State University, San Diego, California, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois Chicago, Chicago, Illinois, USA
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5
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Dapas M, Thompson EE, Wentworth-Sheilds W, Clay S, Visness CM, Calatroni A, Sordillo JE, Gold DR, Wood RA, Makhija M, Khurana Hershey GK, Sherenian MG, Gruchalla RS, Gill MA, Liu AH, Kim H, Kattan M, Bacharier LB, Rastogi D, Altman MC, Busse WW, Becker PM, Nicolae D, O’Connor GT, Gern JE, Jackson DJ, Ober C. Multi-omic association study identifies DNA methylation-mediated genotype and smoking exposure effects on lung function in children living in urban settings. PLoS Genet 2023; 19:e1010594. [PMID: 36638096 PMCID: PMC9879483 DOI: 10.1371/journal.pgen.1010594] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 01/26/2023] [Accepted: 12/23/2022] [Indexed: 01/14/2023] Open
Abstract
Impaired lung function in early life is associated with the subsequent development of chronic respiratory disease. Most genetic associations with lung function have been identified in adults of European descent and therefore may not represent those most relevant to pediatric populations and populations of different ancestries. In this study, we performed genome-wide association analyses of lung function in a multiethnic cohort of children (n = 1,035) living in low-income urban neighborhoods. We identified one novel locus at the TDRD9 gene in chromosome 14q32.33 associated with percent predicted forced expiratory volume in one second (FEV1) (p = 2.4x10-9; βz = -0.31, 95% CI = -0.41- -0.21). Mendelian randomization and mediation analyses revealed that this genetic effect on FEV1 was partially mediated by DNA methylation levels at this locus in airway epithelial cells, which were also associated with environmental tobacco smoke exposure (p = 0.015). Promoter-enhancer interactions in airway epithelial cells revealed chromatin interaction loops between FEV1-associated variants in TDRD9 and the promoter region of the PPP1R13B gene, a stimulator of p53-mediated apoptosis. Expression of PPP1R13B in airway epithelial cells was significantly associated the FEV1 risk alleles (p = 1.3x10-5; β = 0.12, 95% CI = 0.06-0.17). These combined results highlight a potential novel mechanism for reduced lung function in urban youth resulting from both genetics and smoking exposure.
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Affiliation(s)
- Matthew Dapas
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
| | - Emma E. Thompson
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
| | | | - Selene Clay
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
| | | | | | - Joanne E. Sordillo
- Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Diane R. Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Robert A. Wood
- Department of Pediatrics, Johns Hopkins University Medical Center, Baltimore, Maryland, United States of America
| | - Melanie Makhija
- Division of Allergy and Immunology, Ann & Robert H. Lurie Children’s Hospital, Chicago, Illinois, United States of America
| | - Gurjit K. Khurana Hershey
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, United States of America
| | - Michael G. Sherenian
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, United States of America
| | - Rebecca S. Gruchalla
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
| | - Michelle A. Gill
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Andrew H. Liu
- Department of Allergy and Immunology, Children’s Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Haejin Kim
- Department of Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Meyer Kattan
- Columbia University College of Physicians and Surgeons, New York, New York, United States of America
| | - Leonard B. Bacharier
- Monroe Carell Jr. Children’s Hospital at Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Deepa Rastogi
- Children’s National Health System, Washington, District of Columbia, United States of America
| | - Matthew C. Altman
- Department of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, United States of America
| | - William W. Busse
- Department of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Patrice M. Becker
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, United States of America
| | - Dan Nicolae
- Department of Statistics, University of Chicago, Chicago, Illinois, United States of America
| | - George T. O’Connor
- Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - James E. Gern
- Department of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Daniel J. Jackson
- Department of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
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6
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Cho MH, Hobbs BD, Silverman EK. Genetics of chronic obstructive pulmonary disease: understanding the pathobiology and heterogeneity of a complex disorder. THE LANCET. RESPIRATORY MEDICINE 2022; 10:485-496. [PMID: 35427534 DOI: 10.1016/s2213-2600(21)00510-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 10/20/2021] [Accepted: 11/09/2021] [Indexed: 12/20/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a deadly and highly morbid disease. Susceptibility to and heterogeneity of COPD are incompletely explained by environmental factors such as cigarette smoking. Family-based and population-based studies have shown that a substantial proportion of COPD risk is related to genetic variation. Genetic association studies have identified hundreds of genetic variants that affect risk for COPD, decreased lung function, and other COPD-related traits. These genetic variants are associated with other pulmonary and non-pulmonary traits, demonstrate a genetic basis for at least part of COPD heterogeneity, have a substantial effect on COPD risk in aggregate, implicate early-life events in COPD pathogenesis, and often involve genes not previously suspected to have a role in COPD. Additional progress will require larger genetic studies with more ancestral diversity, improved profiling of rare variants, and better statistical methods. Through integration of genetic data with other omics data and comprehensive COPD phenotypes, as well as functional description of causal mechanisms for genetic risk variants, COPD genetics will continue to inform novel approaches to understanding the pathobiology of COPD and developing new strategies for management and treatment.
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Affiliation(s)
- Michael H Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Brian D Hobbs
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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7
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Granot-Hershkovitz E, Sun Q, Argos M, Zhou H, Lin X, Browning SR, Sofer T. AFA: Ancestry-specific allele frequency estimation in admixed populations: The Hispanic Community Health Study/Study of Latinos. HGG ADVANCES 2022; 3:100096. [PMID: 35300209 PMCID: PMC8920934 DOI: 10.1016/j.xhgg.2022.100096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 02/18/2022] [Indexed: 11/22/2022] Open
Abstract
Allele frequency estimates in admixed populations, such as Hispanics and Latinos, rely on the sample's specific admixture composition and thus may differ between two seemingly similar populations. However, ancestry-specific allele frequencies, i.e., pertaining to the ancestral populations of an admixed group, may be particularly useful for prioritizing genetic variants for genetic discovery and personalized genomic health. We developed a method, ancestry-specific allele frequency estimation in admixed populations (AFA), to estimate the frequencies of biallelic variants in admixed populations with an unlimited number of ancestries. AFA uses maximum-likelihood estimation by modeling the conditional probability of having an allele given proportions of genetic ancestries. It can be applied using either local ancestry interval proportions encompassing the variant (local-ancestry-specific allele frequency estimations in admixed populations [LAFAs]) or global proportions of genetic ancestries (global-ancestry-specific allele frequency estimations in admixed populations [GAFAs]), which are easier to compute and are more widely available. Simulations and comparisons to existing software demonstrated the high accuracy of the method. We implemented AFA on high-quality imputed data of ∼9,000 Hispanics and Latinos from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), an understudied, admixed population with three predominant continental ancestries: Amerindian, European, and African. Comparison of the European and African estimated frequencies to the respective gnomAD frequencies demonstrated high correlations (Pearson R2 = 0.97-0.99). We provide a genome-wide dataset of the estimated ancestry-specific allele frequencies for available variants with allele frequency between 5% and 95% in at least one of the three ancestral populations. Association analysis of Amerindian-enriched variants with cardiometabolic traits identified five loci associated with lipid traits in Hispanics and Latinos, demonstrating the utility of ancestry-specific allele frequencies in admixed populations.
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Affiliation(s)
- Einat Granot-Hershkovitz
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA,Department of Medicine, Harvard Medical School, Boston, MA 02115, USA,Corresponding author
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Maria Argos
- School of Public Health, The University of Illinois, Chicago, Chicago, IL 60612, USA
| | - Hufeng Zhou
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Sharon R. Browning
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA,Department of Medicine, Harvard Medical School, Boston, MA 02115, USA,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA,Corresponding author
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8
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Simonin-Wilmer I, Orozco-del-Pino P, Bishop DT, Iles MM, Robles-Espinoza CD. An Overview of Strategies for Detecting Genotype-Phenotype Associations Across Ancestrally Diverse Populations. Front Genet 2021; 12:703901. [PMID: 34804113 PMCID: PMC8602802 DOI: 10.3389/fgene.2021.703901] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 10/14/2021] [Indexed: 11/13/2022] Open
Abstract
Genome-wide association studies (GWAS) have been very successful at identifying genetic variants influencing a large number of traits. Although the great majority of these studies have been performed in European-descent individuals, it has been recognised that including populations with differing ancestries enhances the potential for identifying causal SNPs due to their differing patterns of linkage disequilibrium. However, when individuals from distinct ethnicities are included in a GWAS, it is necessary to implement a number of control steps to ensure that the identified associations are real genotype-phenotype relationships. In this Review, we discuss the analyses that are required when performing multi-ethnic studies, including methods for determining ancestry at the global and local level for sample exclusion, controlling for ancestry in association testing, and post-GWAS interrogation methods such as genomic control and meta-analysis. We hope that this overview provides a primer for those researchers interested in including distinct populations in their studies.
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Affiliation(s)
- Irving Simonin-Wilmer
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Campus Juriquilla, Queretaro, Mexico
| | | | - D. Timothy Bishop
- Leeds Institute for Data Analytics and Leeds Institute of Medical Research at St. James’s, University of Leeds, Leeds, United Kingdom
| | - Mark M. Iles
- Leeds Institute for Data Analytics and Leeds Institute of Medical Research at St. James’s, University of Leeds, Leeds, United Kingdom
| | - Carla Daniela Robles-Espinoza
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Campus Juriquilla, Queretaro, Mexico
- Wellcome Sanger Institute, Hinxton, Cambridge, United Kingdom
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9
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Tobin MD, Izquierdo AG. Improving ethnic diversity in respiratory genomics research. Eur Respir J 2021; 58:58/4/2101615. [PMID: 34649971 DOI: 10.1183/13993003.01615-2021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 06/16/2021] [Indexed: 11/05/2022]
Affiliation(s)
- Martin D Tobin
- Dept of Health Sciences, University of Leicester, Leicester, UK .,Leicester NIHR Biomedical Research Centre, Leicester, UK
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10
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Sin S, Choi HM, Lim J, Kim J, Bak SH, Choi SS, Park J, Lee JH, Oh YM, Lee MK, Hobbs BD, Cho MH, Silverman EK, Kim WJ. A genome-wide association study of quantitative computed tomographic emphysema in Korean populations. Sci Rep 2021; 11:16692. [PMID: 34404834 PMCID: PMC8371078 DOI: 10.1038/s41598-021-95887-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 06/28/2021] [Indexed: 11/18/2022] Open
Abstract
Emphysema is an important feature of chronic obstructive pulmonary disease (COPD). Genetic factors likely affect emphysema pathogenesis, but this question has predominantly been studied in those of European ancestry. In this study, we sought to determine genetic components of emphysema severity and characterize the potential function of the associated loci in Korean population. We performed a genome-wide association study (GWAS) on quantitative emphysema in subjects with or without COPD from two Korean COPD cohorts. We investigated the functional consequences of the loci using epigenetic annotation and gene expression data. We also compared our GWAS results with an epigenome-wide association study and previous differential gene expression analysis. In total, 548 subjects (476 [86.9%] male) including 514 COPD patients were evaluated. We identified one genome-wide significant SNP (P < 5.0 × 10-8), rs117084279, near PIBF1. We identified an additional 57 SNPs (P < 5.0 × 10-6) associated with emphysema in all subjects, and 106 SNPs (P < 5.0 × 10-6) in COPD patients. Of these candidate SNPs, 2 (rs12459249, rs11667314) near CYP2A6 were expression quantitative trait loci in lung tissue and a SNP (rs11214944) near NNMT was an expression quantitative trait locus in whole blood. Of note, rs11214944 was in linkage disequilibrium with variants in enhancer histone marks in lung tissue. Several genes near additional SNPs were identified in our previous EWAS study with nominal level of significance. We identified a novel SNP associated with quantitative emphysema on CT. Including the novel SNP, several candidate SNPs in our study may provide clues to the genetic etiology of emphysema in Asian populations. Further research and validation of the loci will help determine the genetic factors for the development of emphysema.
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Affiliation(s)
- Sooim Sin
- grid.412010.60000 0001 0707 9039Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - Hye-Mi Choi
- grid.412010.60000 0001 0707 9039Division of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Republic of Korea
| | - Jiwon Lim
- grid.412010.60000 0001 0707 9039Division of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Republic of Korea
| | - Jeeyoung Kim
- grid.412010.60000 0001 0707 9039Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - So Hyeon Bak
- grid.412010.60000 0001 0707 9039Department of Radiology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Republic of Korea
| | - Sun Shim Choi
- grid.412010.60000 0001 0707 9039Division of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Republic of Korea
| | - Jinkyeong Park
- grid.470090.a0000 0004 1792 3864Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Jin Hwa Lee
- grid.255649.90000 0001 2171 7754Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Yeon-Mok Oh
- grid.267370.70000 0004 0533 4667Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Mi Kyeong Lee
- grid.280664.e0000 0001 2110 5790Epidemiology Branch, Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC USA
| | - Brian D. Hobbs
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Michael H. Cho
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Edwin K. Silverman
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Woo Jin Kim
- Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
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Li Y, Wu Y, Zhou J, Zhang H, Zhang Y, Ma H, Jiang X, Shi Q. A recurrent ZSWIM7 mutation causes male infertility resulting from decreased meiotic recombination. Hum Reprod 2021; 36:1436-1445. [PMID: 33713115 DOI: 10.1093/humrep/deab046] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 01/26/2021] [Indexed: 12/14/2022] Open
Abstract
STUDY QUESTION Are mutations in the zinc finger SWIM domain-containing protein 7 gene (ZSWIM7) associated with human male infertility? SUMMARY ANSWER The homozygous frameshift mutation (c.231_232del) in ZSWIM7 causes decreased meiotic recombination, spermatogenesis arrest, and infertility in men. WHAT IS KNOWN ALREADY ZSWIM7 is a SWIM domain-containing Shu2/SWS1 protein family member and a subunit of the Shu complex. Zswim7 knockout mice were infertile due to impaired meiotic recombination. However, so far there is no direct evidence that mutations of ZSWIM7 cause human infertility. STUDY DESIGN, SIZE, DURATION Screening for mutations of ZSWIM7 was performed using in-house whole-exome sequencing data from 60 men with non-obstructive azoospermia (NOA). Mice with a corresponding Zswim7 mutation were generated for functional verification. PARTICIPANTS/MATERIALS, SETTING, METHODS Sixty Chinese patients, who were from different regions of China, were enrolled. All the patients were diagnosed with NOA owing to spermatocyte maturation arrest based on histopathological analyses and/or immunostaining of spermatocyte chromosome spreads. ZSWIM7 mutations were screened from the whole-exome sequencing data of these patients, followed by functional verification in mice. MAIN RESULTS AND THE ROLE OF CHANCE A homozygous frameshift mutation (c.231_232del) in ZSWIM7 was found in two out of the 60 unrelated NOA patients. Both patients displayed small testicular size and spermatocyte maturation arrest in testis histology. Spermatocyte chromosome spreads of one patient revealed meiotic maturation arrest in a pachytene-like stage, with incomplete synapsis and decreased meiotic recombination. Male mice carrying a homozygous mutation similar to that of our patients were generated and also displayed reduced recombination, meiotic arrest and azoospermia, paralleling the spermatogenesis defects in our patients. LIMITATIONS, REASONS FOR CAUTION As Zswim7 is also essential for meiosis in female mice, future studies should evaluate the ZSWIM7 mutations more in depth and in larger cohorts of infertile patients, including males and females, to validate the findings. WIDER IMPLICATIONS OF THE FINDINGS These findings provide direct clinical and functional evidence that the recurrent ZSWIM7 mutation (c.231_232del) causes decreased meiotic recombination and leads to male infertility, illustrating the genotype-phenotype correlations of meiotic recombination defects in humans. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the National Natural Science Foundation of China (31890780, 31630050, 32061143006, 82071709, and 31871514), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB19000000), and the National Key Research and Developmental Program of China (2018YFC1003900 and 2019YFA0802600). TRIAL REGISTRATION NUMBER Not applicable.
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Affiliation(s)
- Yang Li
- Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center of Genetics and Development, University of Science and Technology of China, Hefei, China
| | - Yufan Wu
- Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center of Genetics and Development, University of Science and Technology of China, Hefei, China
| | - Jianteng Zhou
- Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center of Genetics and Development, University of Science and Technology of China, Hefei, China
| | - Huan Zhang
- Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center of Genetics and Development, University of Science and Technology of China, Hefei, China
| | - Yuanwei Zhang
- Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center of Genetics and Development, University of Science and Technology of China, Hefei, China
| | - Hui Ma
- Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center of Genetics and Development, University of Science and Technology of China, Hefei, China
| | - Xiaohua Jiang
- Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center of Genetics and Development, University of Science and Technology of China, Hefei, China
| | - Qinghua Shi
- Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center of Genetics and Development, University of Science and Technology of China, Hefei, China
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12
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Yan Q, Forno E, Herrera-Luis E, Pino-Yanes M, Qi C, Rios R, Han YY, Kim S, Oh S, Acosta-Pérez E, Zhang R, Hu D, Eng C, Huntsman S, Avila L, Boutaoui N, Cloutier MM, Soto-Quiros ME, Xu CJ, Weiss ST, Lasky-Su J, Kiedrowski MR, Figueiredo C, Bomberger J, Barreto ML, Canino G, Chen W, Koppelman GH, Burchard EG, Celedón JC. A genome-wide association study of severe asthma exacerbations in Latino children and adolescents. Eur Respir J 2021; 57:2002693. [PMID: 33093117 PMCID: PMC8026735 DOI: 10.1183/13993003.02693-2020] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 09/30/2020] [Indexed: 12/16/2022]
Abstract
Severe asthma exacerbations are a major cause of school absences and healthcare costs in children, particularly those in high-risk racial/ethnic groups.To identify susceptibility genes for severe asthma exacerbations in Latino children and adolescents, we conducted a meta-analysis of genome-wide association studies (GWAS) in 4010 Latino youth with asthma in four independent cohorts, including 1693 Puerto Ricans, 1019 Costa Ricans, 640 Mexicans, 256 Brazilians and 402 members of other Latino subgroups. We then conducted methylation quantitative trait locus, expression quantitative trait locus and expression quantitative trait methylation analyses to assess whether the top single nucleotide polymorphism (SNP) in the meta-analysis is linked to DNA methylation and gene expression in nasal (airway) epithelium in separate cohorts of Puerto Rican and Dutch children and adolescents.In the meta-analysis of GWAS, an SNP in FLJ22447 (rs2253681) was significantly associated with 1.55 increased odds of severe asthma exacerbation (95% CI 1.34-1.79, p=6.3×10-9). This SNP was significantly associated with DNA methylation of a CpG site (cg25024579) at the FLJ22447 locus, which was in turn associated with increased expression of KCNJ2-AS1 in nasal airway epithelium from Puerto Rican children and adolescents (β=0.10, p=2.18×10-7).SNP rs2253681 was significantly associated with both DNA methylation of a cis-CpG in FLJ22447 and severe asthma exacerbations in Latino youth. This may be partly explained by changes in airway epithelial expression of a gene recently implicated in atopic asthma in Puerto Rican children and adolescents (KCNJ2-AS1).
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Affiliation(s)
- Qi Yan
- Division of Pediatric Pulmonary Medicine, University of Pittsburgh Medical Centre, Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
- Shared first authors
| | - Erick Forno
- Division of Pediatric Pulmonary Medicine, University of Pittsburgh Medical Centre, Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
- Shared first authors
| | - Esther Herrera-Luis
- Genomics and Health Group, Dept of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, La Laguna, Spain
- Shared first authors
| | - Maria Pino-Yanes
- Genomics and Health Group, Dept of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, La Laguna, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Cancan Qi
- Dept of Pediatric Pulmonology and Pediatric Allergy, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- GRIAC Research Institute, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Raimon Rios
- Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil
| | - Yueh-Ying Han
- Division of Pediatric Pulmonary Medicine, University of Pittsburgh Medical Centre, Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Soyeon Kim
- Division of Pediatric Pulmonary Medicine, University of Pittsburgh Medical Centre, Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sam Oh
- Dept of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Edna Acosta-Pérez
- Behavioral Sciences Research Institute, University of Puerto Rico, San Juan, Puerto Rico
| | - Rong Zhang
- Division of Pediatric Pulmonary Medicine, University of Pittsburgh Medical Centre, Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Donglei Hu
- Dept of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Celeste Eng
- Dept of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Scott Huntsman
- Dept of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Lydiana Avila
- Dept of Pediatrics, Hospital Nacional de Niños, San José, Costa Rica
| | - Nadia Boutaoui
- Division of Pediatric Pulmonary Medicine, University of Pittsburgh Medical Centre, Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | - Cheng-Jian Xu
- CiiM and TWINCORE, joint ventures between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
- Dept of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Scott T Weiss
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Megan R Kiedrowski
- Dept of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Camila Figueiredo
- Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil
| | - Jennifer Bomberger
- Dept of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mauricio L Barreto
- Instituto de Saúde Coletiva, Federal University of Bahia, Salvador, Brazil
| | - Glorisa Canino
- Behavioral Sciences Research Institute, University of Puerto Rico, San Juan, Puerto Rico
| | - Wei Chen
- Division of Pediatric Pulmonary Medicine, University of Pittsburgh Medical Centre, Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Gerard H Koppelman
- Dept of Pediatric Pulmonology and Pediatric Allergy, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- GRIAC Research Institute, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Esteban G Burchard
- Dept of Medicine, University of California San Francisco, San Francisco, CA, USA
- Shared senior authors
| | - Juan C Celedón
- Division of Pediatric Pulmonary Medicine, University of Pittsburgh Medical Centre, Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
- Shared senior authors
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13
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Dai G, Ran Y, Wang J, Chen X, Peng J, Li X, Deng H, Xiao M, Zhu T. Clinical Differences between Eosinophilic and Noneosinophilic Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Multicenter Cross-Sectional Study. Mediators Inflamm 2020; 2020:1059079. [PMID: 33273887 PMCID: PMC7676927 DOI: 10.1155/2020/1059079] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/13/2020] [Accepted: 10/20/2020] [Indexed: 02/05/2023] Open
Abstract
METHODS A total of 643 AECOPD patients were enrolled in this multicenter cross-sectional study. Finally, 455 were included, 214 in the normal-eosinophil AECOPD (NEOS-AECOPD) group, 63 in the mild increased-eosinophil AECOPD (MEOS-AECOPD) group, and 138 in the severe increased-eosinophil AECOPD (SEOS-AECOPD) group. Demographic data, underlying diseases, symptoms, and laboratory findings were collected. Multiple logistic regression analysis was performed to identify the independent factors associated with blood eosinophils (EOS). Correlations between blood EOS and its associated independent factors were evaluated. RESULTS The significant differences in 19 factors, including underlying diseases, clinical symptoms, and laboratory parameters, were identified by univariate analysis. Subsequently, multiple logistic regression analysis revealed that lymphocyte%, neutrophil% (NS%), procalcitonin (PCT), and anion gap (AG) were independently associated with blood EOS in AECOPD. Both blood EOS counts and EOS% were significantly correlated with lymphocyte%, NS%, PCT, and AG. CONCLUSIONS Collectively, blood EOS was independently associated with lymphocyte%, NS%, PCT, and AG in AECOPD patients. Lymphocyte% was lower, and NS%, PCT, and AG were higher in eosinophilic AECOPD. Our results indicate that viral-dominant infections are the probable major etiologies of eosinophilic AECOPD. Noneosinophilic AECOPD is more likely associated with bacterial-dominant infections. The systemic inflammation in noneosinophilic AECOPD was more severe.
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Affiliation(s)
- Guangming Dai
- Respiratory Department, First People's Hospital of Suining City, 629000 Suining, Sichuan, China
| | - Yajuan Ran
- Pharmacy Department, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China
| | - Jiajia Wang
- Rheumatology Medicine, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China
| | - Xingru Chen
- Respiratory Medicine, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China
| | - Junnan Peng
- Respiratory Medicine, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China
| | - Xinglong Li
- Respiratory Medicine, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China
| | - Huojin Deng
- Respiratory Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou 510280, China
| | - Min Xiao
- Respiratory Medicine, and Division of Pulmonary Diseases, State Key Laboratory of Biotherapy of China, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Tao Zhu
- Respiratory Medicine, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China
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14
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Sharma A, Kaur S, Sarkar M, Sarin BC, Changotra H. The AGE-RAGE Axis and RAGE Genetics in Chronic Obstructive Pulmonary Disease. Clin Rev Allergy Immunol 2020; 60:244-258. [PMID: 33170477 DOI: 10.1007/s12016-020-08815-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/26/2020] [Indexed: 12/25/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a heterogeneous group of lung diseases limiting the airflow due to narrowing of airways, chronic bronchitis and emphysema that leads to difficulties in breathing. Chronic inflammation is another important characteristic of COPD which leads to immune cell infiltration and helps in the alveolar destruction. Pathology of COPD is driven by various environmental and genetic factors. COPD is mainly associated with the inhalation of toxic agents mainly the cigarette smoke. Receptor for advanced glycation end products (RAGE) has emerged as a pattern recognition receptor and is a multiligand receptor expressed moderately in various cells, tissues and highly in the lungs throughout life. RAGE recognizes various ligands produced by cigarette smoke and its role has been implicated in the pathogenesis of COPD. RAGE ligands have been reported to accumulate in the lungs of patients with COPD. RAGE is a membrane receptor but its truncated form i.e. soluble RAGE (sRAGE) mainly functions as a contender of RAGE and inhibits various RAGE dependent cell signalling. Among the various ligands of RAGE, advanced glycation end products (AGEs) are majorly linked with COPD. Accumulated AGE triggers downstream RAGE-AGE axis in COPD. Moreover, RAGE genetics has long been known to play a vital role in the pathology of various airway diseases including COPD and this gene contains an associated locus. A reliable biomarker is needed for the management of this disease. sRAGE has an inverse correlation with the RAGE showed its importance as a valuable marker in COPD. This review is focused on the role of RAGE, sRAGE, RAGE axis and RAGE genetics in COPD.
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Affiliation(s)
- Ambika Sharma
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, 173 234, India
| | - Sargeet Kaur
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, 173 234, India
| | - Malay Sarkar
- Department of Pulmonary Medicine, Indira Gandhi Medical College, Shimla, Himachal Pradesh, 171 001, India
| | - B C Sarin
- Department of Chest and TB, Sri Guru Ram Das Institute of Medical Sciences and Research, Vallah, Amritsar, 143 501, India
| | - Harish Changotra
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, 173 234, India.
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15
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Zhao X, Qiao D, Yang C, Kasela S, Kim W, Ma Y, Shrine N, Batini C, Sofer T, Taliun SAG, Sakornsakolpat P, Balte PP, Prokopenko D, Yu B, Lange LA, Dupuis J, Cade BE, Lee J, Gharib SA, Daya M, Laurie CA, Ruczinski I, Cupples LA, Loehr LR, Bartz TM, Morrison AC, Psaty BM, Vasan RS, Wilson JG, Taylor KD, Durda P, Johnson WC, Cornell E, Guo X, Liu Y, Tracy RP, Ardlie KG, Aguet F, VanDenBerg DJ, Papanicolaou GJ, Rotter JI, Barnes KC, Jain D, Nickerson DA, Muzny DM, Metcalf GA, Doddapaneni H, Dugan-Perez S, Gupta N, Gabriel S, Rich SS, O'Connor GT, Redline S, Reed RM, Laurie CC, Daviglus ML, Preudhomme LK, Burkart KM, Kaplan RC, Wain LV, Tobin MD, London SJ, Lappalainen T, Oelsner EC, Abecasis GR, Silverman EK, Barr RG, Cho MH, Manichaikul A. Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants. Nat Commun 2020; 11:5182. [PMID: 33057025 PMCID: PMC7598941 DOI: 10.1038/s41467-020-18334-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 08/19/2020] [Indexed: 12/14/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.
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Affiliation(s)
- Xutong Zhao
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Silva Kasela
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Yanlin Ma
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
| | - Chiara Batini
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
| | - Tamar Sofer
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sarah A Gagliano Taliun
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Houston, TX, 77030, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Brian E Cade
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sina A Gharib
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
| | - Laura R Loehr
- Department of Medicine, UNC School of Medicine, Chapel Hill, NC, 27599, USA
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Ramachandran S Vasan
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
- Department of Preventive Medicine and Epidemiology, Boston University School of Medicine and Public Health, Boston, MA, 02118, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Elaine Cornell
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, 27701, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | | | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - David J VanDenBerg
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - George J Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Donna M Muzny
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ginger A Metcalf
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | | | - Shannon Dugan-Perez
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - George T O'Connor
- Boston University School Of Medicine, Pulmonary Center, Boston, MA, 02118, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
| | - Robert M Reed
- Division of Pulmonary and Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | | | - Kristin M Burkart
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, 10461, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Louise V Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Durham, NC, 27709, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Goncalo R Abecasis
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA.
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16
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Díaz-Peña R, Silva RS, Hosgood HD, Jaime S, Miravitlles M, Olloquequi J. HLA-DRB1 Alleles are Associated With COPD in a Latin American Admixed Population. Arch Bronconeumol 2020; 57:291-297. [PMID: 32948369 DOI: 10.1016/j.arbres.2020.07.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/19/2020] [Accepted: 07/17/2020] [Indexed: 10/23/2022]
Abstract
INTRODUCTION While the molecular mechanisms of COPD pathogenesis remain obscure, there is mounting evidence supporting a key role for autoimmunity. Although human leukocyte antigens (HLA) alleles have been repeatedly associated with autoimmune processes, the relation between HLA and COPD remains largely unexplored, especially in Latin American (LA) populations. Consequently, this study aimed to investigate the presence of HLA class I and II alleles in COPD patients and healthy controls in a LA population with admixed ancestry. METHODS COPD patients (n=214) and age-matched controls (n=193) were genotyped using the Illumina Infinium Global Screening Array. The classic HLA alleles were imputed using HLA Genotype Imputation with Attribute Bagging (HIBAG) and the Hispanic reference panel. Finally, the distribution of HLA-DRB1 alleles was reexamined in 510 randomly recruited unrelated volunteers. RESULTS CODP patients showed a higher HLA-DRB1*01:02 allele frequency (6.54%) than healthy controls (3.27%, p=0.04, OR=2.07). HLA-DRB1*01:02 was also significantly associated with FEV1 (p=0.04) and oxygen saturation (p=0.02), and the FEV1/FVC ratio was higher in HLA-DRB1*15:01-positive patients (p=9×10-3). CONCLUSION We report an association among HLA-DRB1 alleles, COPD risk and pulmonary function parameters for the first time in Latin Americans. Since HLA-DRB1 genetic variability relates to the individual autoimmune response, these results support a role of autoimmunity in the pathogenesis of COPD.
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Affiliation(s)
- Roberto Díaz-Peña
- Laboratory of Cellular and Molecular Pathology, Facultad de Ciencias de la Salud, Instituto de Ciencias Biomédicas, Universidad Autónoma de Chile, Talca, Chile; Liquid Biopsy Analysis Unit, Translational Medical Oncology (Oncomet), Health Research Institute of Santiago (IDIS), 15706 Santiago de Compostela, Spain
| | - Rafael S Silva
- Unidad Respiratorio, Centro de Diagnóstico Terapéutico, Hospital Regional de Talca, Talca, Chile
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sergio Jaime
- Unidad Respiratorio, Centro de Diagnóstico Terapéutico, Hospital Regional de Talca, Talca, Chile
| | - Marc Miravitlles
- Pneumology Department, Hospital Universitari Vall d'Hebron/Vall d'Hebron Institut de Recerca (VHIR), Barcelona, CIBER Enfermedades Respiratorias (CIBERES), Spain
| | - Jordi Olloquequi
- Laboratory of Cellular and Molecular Pathology, Facultad de Ciencias de la Salud, Instituto de Ciencias Biomédicas, Universidad Autónoma de Chile, Talca, Chile.
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17
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Díaz-Peña R, Boekstegers F, Silva RS, Jaime S, Hosgood HD, Miravitlles M, Agustí À, Lorenzo Bermejo J, Olloquequi J. Amerindian Ancestry Influences Genetic Susceptibility to Chronic Obstructive Pulmonary Disease. J Pers Med 2020; 10:jpm10030093. [PMID: 32824824 PMCID: PMC7565405 DOI: 10.3390/jpm10030093] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 08/10/2020] [Accepted: 08/12/2020] [Indexed: 12/21/2022] Open
Abstract
The contribution of genetic ancestry on chronic obstructive pulmonary disease (COPD) predisposition remains unclear. To explore this relationship, we analyzed the associations between 754,159 single nucleotide polymorphisms (SNPs) and risk of COPD (n = 214 cases, 193 healthy controls) in Talca, Chile, considering the genetic ancestry and established risk factors. The proportion of Mapuche ancestry (PMA) was based on a panel of 45 Mapuche reference individuals. Five PRDM15 SNPs and two PPP1R12B SNPs were associate with COPD risk (p = 0.05 to 5×10-4) in those individuals with lower PMA. Based on linkage disequilibrium and sliding window analyses, an adjacent PRDM15 SNPs were associated with COPD risk in the lower PMA group (p = 10-3 to 3.77×10-8). Our study is the first to report an association between PPP1R12B and COPD risk, as well as effect modification between ethnicity and PRDM15 SNPs in determining COPD risk. Our results are biologically plausible given that PPP1R12B and PRDM15 are involved in immune dysfunction and autoimmunity, providing mechanistic evidence for COPD pathogenesis and highlighting the importance to conduct more genome wide association studies (GWAS) in admixed populations with Amerindian descent.
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Affiliation(s)
- Roberto Díaz-Peña
- Laboratory of Cellular and Molecular Pathology, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3460000, Chile;
- Liquid Biopsy Analysis Unit, Oncomet, Health Research Institute of Santiago (IDIS), 15706 Santiago de Compostela, Spain
| | - Felix Boekstegers
- Statistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, 69126 Heidelberg, Germany; (F.B.); (J.L.B.)
| | - Rafael S. Silva
- Unidad Respiratorio, Centro de Diagnóstico Terapéutico, Hospital Regional de Talca, Talca 3460000, Chile; (R.S.S.); (S.J.)
| | - Sergio Jaime
- Unidad Respiratorio, Centro de Diagnóstico Terapéutico, Hospital Regional de Talca, Talca 3460000, Chile; (R.S.S.); (S.J.)
| | - H. Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA;
| | - Marc Miravitlles
- Pneumology Department, Hospital Universitari Vall d’Hebron/Vall d’Hebron Institut de Recerca (VHIR), CIBER Enfermedades Respiratorias (CIBERES), 08035 Barcelona, Spain;
| | - Àlvar Agustí
- Respiratory Institute, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, CIBER Enfermedades Respiratorias (CIBERES), 08036 Barcelona, Spain;
| | - Justo Lorenzo Bermejo
- Statistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, 69126 Heidelberg, Germany; (F.B.); (J.L.B.)
| | - Jordi Olloquequi
- Laboratory of Cellular and Molecular Pathology, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3460000, Chile;
- Correspondence: ; Tel.: +56-71-273-5728
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18
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Differentiation of Hispanic biogeographic ancestry with 80 ancestry informative markers. Sci Rep 2020; 10:7745. [PMID: 32385290 PMCID: PMC7210943 DOI: 10.1038/s41598-020-64245-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 04/03/2020] [Indexed: 11/09/2022] Open
Abstract
Ancestry informative single nucleotide polymorphisms (SNPs) can identify biogeographic ancestry (BGA); however, population substructure and relatively recent admixture can make differentiation difficult in heterogeneous Hispanic populations. Utilizing unrelated individuals from the Genomic Origins and Admixture in Latinos dataset (GOAL, n = 160), we designed an 80 SNP panel (Setser80) that accurately depicts BGA through STRUCTURE and PCA. We compared our Setser80 to the Seldin and Kidd panels via resampling simulations, which models data based on allele frequencies. We incorporated Admixed American 1000 Genomes populations (1000 G, n = 347), into a combined populations dataset to determine robustness. Using multinomial logistic regression (MLR), we compared the 3 panels on the combined dataset and found overall MLR classification accuracies: 93.2% Setser80, 87.9% Seldin panel, 71.4% Kidd panel. Naïve Bayesian classification had similar results on the combined dataset: 91.5% Setser80, 84.7% Seldin panel, 71.1% Kidd panel. Although Peru and Mexico were absent from panel design, we achieved high classification accuracy on the combined populations for Peru (MLR = 100%, naïve Bayes = 98%), and Mexico (MLR = 90%, naïve Bayes = 83.4%) as evidence of the portability of the Setser80. Our results indicate the Setser80 SNP panel can reliably classify BGA for individuals of presumed Hispanic origin.
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19
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Oelsner EC, Ortega VE, Smith BM, Nguyen JN, Manichaikul AW, Hoffman EA, Guo X, Taylor KD, Woodruff PG, Couper DJ, Hansel NN, Martinez FJ, Paine R, Han MK, Cooper C, Dransfield MT, Criner G, Krishnan JA, Bowler R, Bleecker ER, Peters S, Rich SS, Meyers DA, Rotter JI, Barr RG. A Genetic Risk Score Associated with Chronic Obstructive Pulmonary Disease Susceptibility and Lung Structure on Computed Tomography. Am J Respir Crit Care Med 2020; 200:721-731. [PMID: 30925230 DOI: 10.1164/rccm.201812-2355oc] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Rationale: Chronic obstructive pulmonary disease (COPD) has been associated with numerous genetic variants, yet the extent to which its genetic risk is mediated by variation in lung structure remains unknown.Objectives: To characterize associations between a genetic risk score (GRS) associated with COPD susceptibility and lung structure on computed tomography (CT).Methods: We analyzed data from MESA Lung (Multi-Ethnic Study of Atherosclerosis Lung Study), a U.S. general population-based cohort, and SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study). A weighted GRS was calculated from 83 SNPs that were previously associated with lung function. Lung density, spatially matched airway dimensions, and airway counts were assessed on full-lung CT. Generalized linear models were adjusted for age, age squared, sex, height, principal components of genetic ancestry, smoking status, pack-years, CT model, milliamperes, and total lung volume.Measurements and Main Results: MESA Lung and SPIROMICS contributed 2,517 and 2,339 participants, respectively. Higher GRS was associated with lower lung function and increased COPD risk, as well as lower lung density, smaller airway lumens, and fewer small airways, without effect modification by smoking. Adjustment for CT lung structure, particularly small airway measures, attenuated associations between the GRS and FEV1/FVC by 100% and 60% in MESA and SPIROMICS, respectively. Lung structure (P < 0.0001), but not the GRS (P > 0.10), improved discrimination of moderate-to-severe COPD cases relative to clinical factors alone.Conclusions: A GRS associated with COPD susceptibility was associated with CT lung structure. Lung structure may be an important mediator of heritability and determinant of personalized COPD risk.
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Affiliation(s)
- Elizabeth C Oelsner
- Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
| | - Victor E Ortega
- Division of Pulmonary, Critical Care, Allergy, and Immunologic Medicine, Department of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Benjamin M Smith
- Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
| | - Jennifer N Nguyen
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Eric A Hoffman
- Department of Radiology.,Department of Medicine, and.,Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa
| | | | | | - Prescott G Woodruff
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, California
| | - David J Couper
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Nadia N Hansel
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Fernando J Martinez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Robert Paine
- Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah
| | - Meilan K Han
- Division of Pulmonary and Critical Care Medicine, Michigan Medicine, Ann Arbor, Michigan
| | - Christopher Cooper
- Department of Medicine, and.,Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, California
| | - Mark T Dransfield
- Division of Pulmonary, Allergy, and Critical Care, University of Alabama at Birmingham, Birmingham, Alabama
| | - Gerard Criner
- Department of Thoracic Medicine, Temple University, Philadelphia, Pennsylvania
| | - Jerry A Krishnan
- Division of Pulmonary and Critical Care, University of Illinois, Chicago, Illinois
| | - Russell Bowler
- Division of Pulmonary and Critical Care, National Jewish, Denver, Colorado; and
| | | | - Stephen Peters
- Division of Pulmonary, Critical Care, Allergy, and Immunologic Medicine, Department of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | | | | | - R Graham Barr
- Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
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20
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Abstract
Although chronic obstructive pulmonary disease (COPD) risk is strongly influenced by cigarette smoking, genetic factors are also important determinants of COPD. In addition to Mendelian syndromes such as alpha-1 antitrypsin deficiency, many genomic regions that influence COPD susceptibility have been identified in genome-wide association studies. Similarly, multiple genomic regions associated with COPD-related phenotypes, such as quantitative emphysema measures, have been found. Identifying the functional variants and key genes within these association regions remains a major challenge. However, newly identified COPD susceptibility genes are already providing novel insights into COPD pathogenesis. Network-based approaches that leverage these genetic discoveries have the potential to assist in decoding the complex genetic architecture of COPD.
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Affiliation(s)
- Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA;
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21
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Martino J, Brunette GJ, Barroso-González J, Moiseeva TN, Smith CM, Bakkenist CJ, O’Sullivan RJ, Bernstein KA. The human Shu complex functions with PDS5B and SPIDR to promote homologous recombination. Nucleic Acids Res 2019; 47:10151-10165. [PMID: 31665741 PMCID: PMC6821187 DOI: 10.1093/nar/gkz738] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 08/08/2019] [Accepted: 09/02/2019] [Indexed: 12/15/2022] Open
Abstract
RAD51 plays a central role in homologous recombination during double-strand break repair and in replication fork dynamics. Misregulation of RAD51 is associated with genetic instability and cancer. RAD51 is regulated by many accessory proteins including the highly conserved Shu complex. Here, we report the function of the human Shu complex during replication to regulate RAD51 recruitment to DNA repair foci and, secondly, during replication fork restart following replication fork stalling. Deletion of the Shu complex members, SWS1 and SWSAP1, using CRISPR/Cas9, renders cells specifically sensitive to the replication fork stalling and collapse caused by methyl methanesulfonate and mitomycin C exposure, a delayed and reduced RAD51 response, and fewer sister chromatid exchanges. Our additional analysis identified SPIDR and PDS5B as novel Shu complex interacting partners and genetically function in the same pathway upon DNA damage. Collectively, our study uncovers a protein complex, which consists of SWS1, SWSAP1, SPIDR and PDS5B, involved in DNA repair and provides insight into Shu complex function and composition.
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Affiliation(s)
- Julieta Martino
- Department of Microbiology and Molecular Genetics, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Gregory J Brunette
- Department of Microbiology and Molecular Genetics, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Jonathan Barroso-González
- Department of Pharmacology and Chemical Biology; UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Tatiana N Moiseeva
- Department of Radiation Oncology, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Chelsea M Smith
- Department of Microbiology and Molecular Genetics, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Christopher J Bakkenist
- Department of Radiation Oncology, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Roderick J O’Sullivan
- Department of Pharmacology and Chemical Biology; UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Kara A Bernstein
- Department of Microbiology and Molecular Genetics, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
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22
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Ranjan A, Singh A, Walia GK, Sachdeva MP, Gupta V. Genetic underpinnings of lung function and COPD. J Genet 2019; 98:76. [PMID: 31544798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Spirometry based measurement of lung function is a global initiative for chronic obstructive lung disease (GOLD) standard to diagnose chronic obstructive pulmonary disease (COPD), one of the leading causes of mortality worldwide. The environmental and behavioural risk factors for COPD includes tobacco smoking, air pollutants and biomass fuel exposure, which can induce one or more abnormal lung function patterns. While smoking remains the primary risk factor, only 15-20% smokers develop COPD, indicating that the genetic factors are also likely to play a role. According to the study of Global Burden of Disease 2015, ∼174 million people across the world have COPD. From a comprehensive literature search conducted using the 'PubMed' and 'GWAS Catalogue' databases, and reviewing the literature available, only a limited number of studies were identified which had attempted to investigate the genetics of COPD and lung volumes, implying a huge research gap. With the advent of genomewide association studies several genetic variants linked to lung function and COPD, like HHIP, HTR4, ADAM19 and GSTCD etc., have been found and validated in different population groups, suggesting their potential role in determining lung volume and risk for COPD. This article aims at reviewing the present knowledge of the genetics of lung function and COPD.
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Affiliation(s)
- Astha Ranjan
- Department of Anthropology, University of Delhi, Delhi 110 007, India.
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23
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Cho M, Tantisira K. ¡HOLA! The Influence of Being Hispanic on Lung Ancestry. Am J Respir Crit Care Med 2019. [PMID: 29533681 DOI: 10.1164/rccm.201802-0306ed] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Affiliation(s)
- Michael Cho
- 1 Channing Division of Network Medicine and.,2 Division of Pulmonary and Critical Care Medicine Brigham and Women's Hospital and Harvard Medical School Boston, Massachusetts
| | - Kelan Tantisira
- 1 Channing Division of Network Medicine and.,2 Division of Pulmonary and Critical Care Medicine Brigham and Women's Hospital and Harvard Medical School Boston, Massachusetts
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24
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Bertoldi AD, Barros FC, Hallal PRC, Mielke GI, Oliveira PD, Maia MFS, Horta BL, Gonçalves H, Barros AJD, Tovo-Rodrigues L, Murray J, Victora CG. Trends and inequalities in maternal and child health in a Brazilian city: methodology and sociodemographic description of four population-based birth cohort studies, 1982-2015. Int J Epidemiol 2019; 48:i4-i15. [PMID: 30883654 PMCID: PMC6422064 DOI: 10.1093/ije/dyy170] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/08/2018] [Indexed: 02/06/2023] Open
Abstract
Background Few low-middle-income countries have data from comparable birth cohort studies spanning over time. We report on the methods used by the Pelotas cohorts (1982, 1993, 2004 and 2015) and describe time trends in sociodemographic characteristics of the participant families. Methods During the four study years, all maternity hospitals in the city were visited daily, and all urban women giving birth were enrolled. Data on socioeconomic and demographic characteristics were collected using standardized questionnaires, including data on maternal and paternal skin colour, age and schooling, maternal marital status, family income and household characteristics. The analyses included comparisons of time trends and of socioeconomic and ethnic group inequalities. Results Despite a near 50% increase in the city’s population between 1982 and 2015, the total number of births declined from 6011 to 4387. The proportion of mothers aged ≥35 years increased from 9.9% to 14.8%, and average maternal schooling from 6.5 [standard deviation (SD) 4.2] to 10.1 (SD 4.0) years. Treated water was available in 95.3% of households in 1982 and 99.3% in 2015. Three-quarters of the families had a refrigerator in 1982, compared with 98.3% in 2015. Absolute income-related inequalities in maternal schooling, household crowding, household appliances and access to treated water were markedly reduced between 1982 and 2015. Maternal skin colour was associated with inequalities in age at childbearing and schooling, as well as with household characteristics. Conclusions During the 33-year period, there were positive changes in social and environmental determinants of health, including income, education, fertility and characteristics of the home environment. Socioeconomic inequality was also reduced.
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Affiliation(s)
| | - Fernando C Barros
- Postgraduate Program in Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil
| | - Pedro R C Hallal
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Gregore I Mielke
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Paula D Oliveira
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Maria Fatima S Maia
- Institute of Human Sciences and Information, Federal University of Rio Grande, Rio Grande, Brazil
| | - Bernardo L Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Helen Gonçalves
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Aluísio J D Barros
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | | | - Joseph Murray
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Cesar G Victora
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
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25
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Sofer T, Emery L, Jain D, Ellis AM, Laurie CC, Allison MA, Lee J, Kurniansyah N, Kerr KF, González HM, Tarraf W, Criqui MH, Lange LA, Palmas WR, Franceschini N, Wassel CL. Variants Associated with the Ankle Brachial Index Differ by Hispanic/Latino Ethnic Group: a genome-wide association study in the Hispanic Community Health Study/Study of Latinos. Sci Rep 2019; 9:11410. [PMID: 31388106 PMCID: PMC6684818 DOI: 10.1038/s41598-019-47928-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 07/26/2019] [Indexed: 12/22/2022] Open
Abstract
Lower extremity peripheral artery disease (PAD) burden differs by race/ethnicity. Although familial aggregation and heritability studies suggest a genetic basis, little is known about the genetic susceptibility to PAD, especially in non-European descent populations. Genome-wide association studies (GWAS) of the ankle brachial index (ABI) and PAD (defined as an ABI < 0.90) have not been conducted in Hispanics/Latinos. We performed a GWAS of PAD and the ABI in 7,589 participants aged >45 years from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). We also performed GWAS for ABI stratified by Hispanic/Latino ethnic subgroups: Central American, Mexican, and South American (Mainland group), and Cuban, Dominican, and Puerto Rican (Caribbean group). We detected two genome-wide significant associations for the ABI in COMMD10 in Puerto Ricans, and at SYBU in the Caribbean group. The lead SNP rs4466200 in the COMMD10 gene had a replication p = 0.02 for the ABI in Multi-Ethnic Study of Atherosclerosis (MESA) African Americans, but it did not replicate in African Americans from the Cardiovascular Health Study (CHS). In a regional look-up, a nearby SNP rs12520838 had Bonferroni adjusted p = 0.05 (unadjusted p = 7.5 × 10−5) for PAD in MESA Hispanics. Among three suggestive associations (p < 10−7) in subgroup-specific analyses, DMD on chromosome X, identified in Central Americans, replicated in MESA Hispanics (p = 2.2 × 10−4). None of the previously reported ABI and PAD associations in whites generalized to Hispanics/Latinos.
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Affiliation(s)
- Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA. .,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
| | - Leslie Emery
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Alicia M Ellis
- Duke Clinical Research Institute, Duke University, Durham, NC, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Matthew A Allison
- Department of Family Medicine and Public Health, University of California - San Diego, La Jolla, CA, USA
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Nuzulul Kurniansyah
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Kathleen F Kerr
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Hector M González
- Department of Neurosciences, Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego, San Diego, CA, United States of America
| | - Wassim Tarraf
- Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | - Michael H Criqui
- Department of Family Medicine and Public Health, University of California - San Diego, La Jolla, CA, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado-Denver, Denver, CO, USA
| | - Walter R Palmas
- Department of Medicine, Columbia University, New York, NY, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
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26
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Ranjan A, Singh A, Walia GK, Sachdeva MP, Gupta V. Genetic underpinnings of lung function and COPD. J Genet 2019. [DOI: 10.1007/s12041-019-1119-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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27
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Huang X, Mu X, Deng L, Fu A, Pu E, Tang T, Kong X. The etiologic origins for chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis 2019; 14:1139-1158. [PMID: 31213794 PMCID: PMC6549659 DOI: 10.2147/copd.s203215] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 04/18/2019] [Indexed: 12/27/2022] Open
Abstract
COPD, characterized by long-term poorly irreversible airway limitation and persistent respiratory symptoms, has resulted in enormous challenges to human health worldwide, with increasing rates of prevalence, death, and disability. Although its origin was thought to be in the interactions of genetic with environmental factors, the effects of environmental factors on the disease during different life stages remain little known. Without clear mechanisms and radical cure for it, early screening and prevention of COPD seem to be important. In this review, we will discuss the etiologic origins for poor lung function and COPD caused by specific adverse effects during corresponding life stages, as well as try to find new insights and potential prevention strategies for this disease.
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Affiliation(s)
- Xinwei Huang
- Faculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming City, Yunnan Province, People's Republic of China.,Medical School, Kunming University of Science and Technology, Kunming City, Yunnan Province, People's Republic of China
| | - Xi Mu
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming City, Yunnan Province, People's Republic of China
| | - Li Deng
- The Pathology Department, First People's Hospital of Yunnan Province, Kunming City, Yunnan Province, People's Republic of China
| | - Aili Fu
- Department of Oncology, Yunfeng Hospital, Xuanwei City, Yunnan Province, People's Republic of China
| | - Endong Pu
- Department of Thoracic Surgery, Yunfeng Hospital, Xuanwei City, Yunnan Province, People's Republic of China
| | - Tao Tang
- Medical School, Kunming University of Science and Technology, Kunming City, Yunnan Province, People's Republic of China
| | - Xiangyang Kong
- Medical School, Kunming University of Science and Technology, Kunming City, Yunnan Province, People's Republic of China
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28
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Gerald JK, Hallmark B, Billheimer D, Martinez FD, Gerald LB. Are Latino children of Mexican origin with asthma less responsive to inhaled corticosteroids than white children? THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE 2019; 7:2419-2421. [PMID: 30857938 DOI: 10.1016/j.jaip.2019.02.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 02/15/2019] [Accepted: 02/15/2019] [Indexed: 11/29/2022]
Affiliation(s)
- Joe K Gerald
- Department of Community Environment and Policy, The Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, Ariz; The Asthma and Airways Disease Research Center, The University of Arizona, Tucson, Ariz.
| | - Brian Hallmark
- The Asthma and Airways Disease Research Center, The University of Arizona, Tucson, Ariz; The BIO5 Institute, The University of Arizona, Tucson, Ariz
| | - Dean Billheimer
- The Asthma and Airways Disease Research Center, The University of Arizona, Tucson, Ariz; The BIO5 Institute, The University of Arizona, Tucson, Ariz; Department of Epidemiology and Biostatistics, The Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, Ariz
| | - Fernando D Martinez
- The Asthma and Airways Disease Research Center, The University of Arizona, Tucson, Ariz; The BIO5 Institute, The University of Arizona, Tucson, Ariz; Department of Pediatrics, The University of Arizona College of Medicine, The University of Arizona, Tucson, Ariz
| | - Lynn B Gerald
- The Asthma and Airways Disease Research Center, The University of Arizona, Tucson, Ariz; Department of Health Promotion Sciences, The Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, Ariz
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29
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Grinde KE, Qi Q, Thornton TA, Liu S, Shadyab AH, Chan KHK, Reiner AP, Sofer T. Generalizing polygenic risk scores from Europeans to Hispanics/Latinos. Genet Epidemiol 2019; 43:50-62. [PMID: 30368908 PMCID: PMC6330129 DOI: 10.1002/gepi.22166] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 08/12/2018] [Accepted: 08/28/2018] [Indexed: 12/17/2022]
Abstract
Polygenic risk scores (PRSs) are weighted sums of risk allele counts of single-nucleotide polymorphisms (SNPs) associated with a disease or trait. PRSs are typically constructed based on published results from Genome-Wide Association Studies (GWASs), and the majority of which has been performed in large populations of European ancestry (EA) individuals. Although many genotype-trait associations have generalized across populations, the optimal choice of SNPs and weights for PRSs may differ between populations due to different linkage disequilibrium (LD) and allele frequency patterns. We compare various approaches for PRS construction, using GWAS results from both large EA studies and a smaller study in Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL, n = 12 , 803 ). We consider multiple approaches for selecting SNPs and for computing SNP weights. We study the performance of the resulting PRSs in an independent study of Hispanics/Latinos from the Women's Health Initiative (WHI, n = 3 , 582 ). We support our investigation with simulation studies of potential genetic architectures in a single locus. We observed that selecting variants based on EA GWASs generally performs well, except for blood pressure trait. However, the use of EA GWASs for weight estimation was suboptimal. Using non-EA GWAS results to estimate weights improved results.
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Affiliation(s)
- Kelsey E. Grinde
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Qibin Qi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Simin Liu
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Aladdin H. Shadyab
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA, USA
| | - Kei Hang K. Chan
- Department of Epidemiology, Brown University, Providence, RI, USA
- Departments of Biomedical Sciences and Electronic Engineering, City University of Hong Kong, HKSAR
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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30
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Soares-Souza G, Borda V, Kehdy F, Tarazona-Santos E. Admixture, Genetics and Complex Diseases in Latin Americans and US Hispanics. CURRENT GENETIC MEDICINE REPORTS 2018. [DOI: 10.1007/s40142-018-0151-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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31
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Willis-Owen SAG, Thompson A, Kemp PR, Polkey MI, Cookson WOCM, Moffatt MF, Natanek SA. COPD is accompanied by co-ordinated transcriptional perturbation in the quadriceps affecting the mitochondria and extracellular matrix. Sci Rep 2018; 8:12165. [PMID: 30111857 PMCID: PMC6093887 DOI: 10.1038/s41598-018-29789-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 07/16/2018] [Indexed: 12/04/2022] Open
Abstract
Skeletal muscle dysfunction is a frequent extra-pulmonary manifestation of Chronic Obstructive Pulmonary Disease (COPD) with implications for both quality of life and survival. The underlying biology nevertheless remains poorly understood. We measured global gene transcription in the quadriceps using Affymetrix HuGene1.1ST arrays in an unselected cohort of 79 stable COPD patients in secondary care and 16 healthy age- and gender-matched controls. We detected 1,826 transcripts showing COPD-related variation. Eighteen exhibited ≥2fold changes (SLC22A3, FAM184B, CDKN1A, FST, LINC01405, MUSK, PANX1, ANKRD1, C12orf75, MYH1, POSTN, FRZB, TNC, ACTC1, LINC00310, MYH3, MYBPH and AREG). Thirty-one transcripts possessed previous reported evidence of involvement in COPD through genome-wide association, including FAM13A. Network analysis revealed a substructure comprising 6 modules of co-expressed genes. We identified modules with mitochondrial and extracellular matrix features, of which IDH2, a central component of the mitochondrial antioxidant pathway, and ABI3BP, a proposed switch between proliferation and differentiation, represent hubs respectively. COPD is accompanied by coordinated patterns of transcription in the quadriceps involving the mitochondria and extracellular matrix and including genes previously implicated in primary disease processes.
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Affiliation(s)
- Saffron A G Willis-Owen
- Centre for Genomic Medicine, National Heart and Lung Institute, Imperial College London, SW3 6LY, London, United Kingdom.
| | - Anna Thompson
- Centre for Genomic Medicine, National Heart and Lung Institute, Imperial College London, SW3 6LY, London, United Kingdom
| | - Paul R Kemp
- Respiratory Sciences, National Heart and Lung Institute, Imperial College London, SW3 6NP, London, United Kingdom
| | - Michael I Polkey
- Respiratory Sciences, National Heart and Lung Institute, Imperial College London, SW3 6NP, London, United Kingdom
| | - William O C M Cookson
- Centre for Genomic Medicine, National Heart and Lung Institute, Imperial College London, SW3 6LY, London, United Kingdom
| | - Miriam F Moffatt
- Centre for Genomic Medicine, National Heart and Lung Institute, Imperial College London, SW3 6LY, London, United Kingdom
| | - Samantha A Natanek
- Respiratory Sciences, National Heart and Lung Institute, Imperial College London, SW3 6NP, London, United Kingdom.
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32
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Wyss AB, Sofer T, Lee MK, Terzikhan N, Nguyen JN, Lahousse L, Latourelle JC, Smith AV, Bartz TM, Feitosa MF, Gao W, Ahluwalia TS, Tang W, Oldmeadow C, Duan Q, de Jong K, Wojczynski MK, Wang XQ, Noordam R, Hartwig FP, Jackson VE, Wang T, Obeidat M, Hobbs BD, Huan T, Gui H, Parker MM, Hu D, Mogil LS, Kichaev G, Jin J, Graff M, Harris TB, Kalhan R, Heckbert SR, Paternoster L, Burkart KM, Liu Y, Holliday EG, Wilson JG, Vonk JM, Sanders JL, Barr RG, de Mutsert R, Menezes AMB, Adams HHH, van den Berge M, Joehanes R, Levin AM, Liberto J, Launer LJ, Morrison AC, Sitlani CM, Celedón JC, Kritchevsky SB, Scott RJ, Christensen K, Rotter JI, Bonten TN, Wehrmeister FC, Bossé Y, Xiao S, Oh S, Franceschini N, Brody JA, Kaplan RC, Lohman K, McEvoy M, Province MA, Rosendaal FR, Taylor KD, Nickle DC, Williams LK, Burchard EG, Wheeler HE, Sin DD, Gudnason V, North KE, Fornage M, Psaty BM, Myers RH, O'Connor G, Hansen T, Laurie CC, Cassano PA, Sung J, Kim WJ, Attia JR, Lange L, Boezen HM, Thyagarajan B, Rich SS, Mook-Kanamori DO, Horta BL, Uitterlinden AG, Im HK, Cho MH, Brusselle GG, Gharib SA, Dupuis J, Manichaikul A, London SJ. Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function. Nat Commun 2018; 9:2976. [PMID: 30061609 PMCID: PMC6065313 DOI: 10.1038/s41467-018-05369-0] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 06/21/2018] [Indexed: 02/07/2023] Open
Abstract
Nearly 100 loci have been identified for pulmonary function, almost exclusively in studies of European ancestry populations. We extend previous research by meta-analyzing genome-wide association studies of 1000 Genomes imputed variants in relation to pulmonary function in a multiethnic population of 90,715 individuals of European (N = 60,552), African (N = 8429), Asian (N = 9959), and Hispanic/Latino (N = 11,775) ethnicities. We identify over 50 additional loci at genome-wide significance in ancestry-specific or multiethnic meta-analyses. Using recent fine-mapping methods incorporating functional annotation, gene expression, and differences in linkage disequilibrium between ethnicities, we further shed light on potential causal variants and genes at known and newly identified loci. Several of the novel genes encode proteins with predicted or established drug targets, including KCNK2 and CDK12. Our study highlights the utility of multiethnic and integrative genomics approaches to extend existing knowledge of the genetics of lung function and clinical relevance of implicated loci.
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Affiliation(s)
- Annah B Wyss
- Epidemiology Branch National Institute of Environmental Health Sciences, National Institutes of Health, US Department of Health and Human Services, Research Triangle Park, NC, 27709, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Mi Kyeong Lee
- Epidemiology Branch National Institute of Environmental Health Sciences, National Institutes of Health, US Department of Health and Human Services, Research Triangle Park, NC, 27709, USA
| | - Natalie Terzikhan
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, 9000, Belgium
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3000, CA, The Netherlands
| | - Jennifer N Nguyen
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Lies Lahousse
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3000, CA, The Netherlands
- Department of Bioanalysis, FFW, Ghent University, Ghent, 9000, Belgium
| | - Jeanne C Latourelle
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur, 201, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Wei Gao
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Tarunveer S Ahluwalia
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Metabolic Genetics Section, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, 2820, Denmark
| | - Wenbo Tang
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14853, USA
| | - Christopher Oldmeadow
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Callaghan, NSW, 2305, Australia
| | - Qing Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Kim de Jong
- Department of Epidemiologie, University of Groningen, University Medical Center Groningen, 9713 GZ, Groningen, Netherlands
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Xin-Qun Wang
- Division of Biostatistics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, 22908, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, 2300 RC, The Netherlands
| | - Fernando Pires Hartwig
- Postgraduate Program in Epidemiology, Federal University of Pelotas, 96020-220, Pelotas, Brazil
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN, UK
| | - Victoria E Jackson
- Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Tianyuan Wang
- Integrative Bioinformatics Support Group National Institute of Environmental Health Sciences, National Institutes of Health, US Department of Health and Human Services, Research Triangle Park, NC, 27709, USA
| | - Ma'en Obeidat
- The University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, V6Z 1Y6, Canada
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Tianxiao Huan
- The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD, 20892, USA
| | - Hongsheng Gui
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI, 48202, USA
| | - Margaret M Parker
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Donglei Hu
- School of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Lauren S Mogil
- Department of Biology, Loyola University Chicago, Chicago, IL, 60660, USA
| | - Gleb Kichaev
- University of California Los Angeles, Los Angeles, CA, 90095, USA
| | | | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Tamara B Harris
- Department of Health and Human Services, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Susan R Heckbert
- Department of Epidemiology, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA
| | - Lavinia Paternoster
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN, UK
| | - Kristin M Burkart
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Yongmei Liu
- Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA
| | - Elizabeth G Holliday
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Callaghan, NSW, 2305, Australia
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Judith M Vonk
- Department of Epidemiologie, University of Groningen, University Medical Center Groningen, 9713 GZ, Groningen, Netherlands
| | - Jason L Sanders
- Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - R Graham Barr
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2300 RC, The Netherlands
| | | | - Hieab H H Adams
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3000, CA, The Netherlands
- Department of Radiology, Erasmus University Medical Center, Rotterdam, 3015 GD, The Netherlands
| | - Maarten van den Berge
- Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, 9700 AB, The Netherlands
| | - Roby Joehanes
- Hebrew SeniorLife, Harvard University, Boston, MA, 02131, USA
| | - Albert M Levin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, 48202, USA
| | - Jennifer Liberto
- School of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Lenore J Launer
- Department of Health and Human Services, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Juan C Celedón
- Division of Pulmonary Medicine, Allergy, and Immunology, Department of Pediatrics, Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh, Pittsburgh, PA, 15224, USA
| | - Stephen B Kritchevsky
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Rodney J Scott
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Callaghan, NSW, 2305, Australia
- Division of Molecular Medicine, Pathology North, NSW Health Pathology, Newcastle, NSW, 2305, Australia
| | - Kaare Christensen
- Department of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, Odense, 5000, Denmark
| | - Jerome I Rotter
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Tobias N Bonten
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, 2300 RC, The Netherlands
- Department of Pulmonology, Leiden University Medical Center, Leiden, 2300 RC, The Netherlands
| | | | - Yohan Bossé
- Department of Molecular Medicine, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Laval University, Québec, G1V 4G5, Canada
| | - Shujie Xiao
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI, 48202, USA
| | - Sam Oh
- School of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Kurt Lohman
- Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA
| | - Mark McEvoy
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Callaghan, NSW, 2305, Australia
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2300 RC, The Netherlands
| | - Kent D Taylor
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - David C Nickle
- Merck Research Laboratories, GpGx, Merck & Co., Inc., Kenilworth, NJ, 07033, USA
| | - L Keoki Williams
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI, 48202, USA
- Department of Internal Medicine, Henry Ford Health System, Detroit, MI, 48202, USA
| | - Esteban G Burchard
- School of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA
- School of Pharmacy, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Heather E Wheeler
- Department of Biology, Loyola University Chicago, Chicago, IL, 60660, USA
| | - Don D Sin
- The University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, V6Z 1Y6, Canada
- Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, BC, V5Z 1M9, Canada
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, 201, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA
- Cardiovascular Health Research Unit, Department of Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Richard H Myers
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - George O'Connor
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Metabolic Genetics Section, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14853, USA
- Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, 10065, USA
| | - Joohon Sung
- Department of Health Science, School of Public Health, Seoul National University, Seoul, 08826, South Korea
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University, Chuncheon, 24341, South Korea
| | - John R Attia
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Callaghan, NSW, 2305, Australia
| | - Leslie Lange
- University of Colorado Denver, Denver, CO, 80204, USA
| | - H Marike Boezen
- Department of Epidemiologie, University of Groningen, University Medical Center Groningen, 9713 GZ, Groningen, Netherlands
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2300 RC, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, 2300 RC, The Netherlands
| | - Bernardo Lessa Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, 96020-220, Pelotas, Brazil
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands
| | - Hae Kyung Im
- Section of Genetic Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Guy G Brusselle
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, 9000, Belgium
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3000, CA, The Netherlands
- Department of Respiratory Medicine, Erasmus University Medical Center, Rotterdam, 3000 CA, The Netherlands
| | - Sina A Gharib
- Department of Medicine, Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, University of Washington, Seattle, WA, 98109, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Stephanie J London
- Epidemiology Branch National Institute of Environmental Health Sciences, National Institutes of Health, US Department of Health and Human Services, Research Triangle Park, NC, 27709, USA.
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